The prithivMLmods/QwQ-LCoT-3B-Instruct is a 3.1 billion parameter instruction-tuned language model based on Qwen2.5-3B-Instruct, specifically designed for complex reasoning and explanation tasks. It is fine-tuned on the QwQ-LongCoT-130K dataset to generate comprehensive, step-by-step explanations through long-chain-of-thought (LCoT) reasoning. This lightweight model excels at logical comprehension and detailed output generation, making it suitable for systems with limited computational resources.
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Hugging Face